Abstract
Many methods have been proposed for the 3-dimensional (3D) reconstruction of coronaries arteries by combing information from two or more X-ray views of the coronary tree, since the 2D representation of coronary lesion using X-ray coronary angiographies is limited. The aim of this study is to present a new semi-automated method for the accurate 3D reconstruction of coronary arterial bifurcations using X-ray coronary angiographic views (CA). X-ray angiography was acquired from seven patients, both pre and post angioplasty procedure, and their data were used for the 3D reconstruction methodology. The proposed approach consists of 3 steps. Initially, the 2D lumen borders and centerlines are detected. Then the 3D bifurcation path is extracted and the 3D lumen borders are reconstructed around the 3D bifurcation path and finally, the main and side segments are intersected in order to produce the finally model of the bifurcated artery. Considering the X-ray angiography as the gold standard, we validated the proposed method based on the 2D versus the 3D bifurcation segment model. More specifically, in the current dataset our results indicate excellent correlation with the 2D angiography: r = 0.98, p < 0.001; r = 0.97, p < 0.001; r = 0.94, p < 0.001 and r = 0.88, p < 0.001 for the Reference Lumen Diameter (RLD), Minimal Lumen Diameter (MLD), Degree of Stenosis (DS) and Lesion Length (LL), respectively. Moreover the mean values of the Hausdorff Distance and the Dice correlation between the 2D annotated borders and the forwardly projected borders are 0.3031 mm and 91% for the first CA while 0.3103 and 92% for the second one.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
D. B. Mark, D. S. Berman, M. J. Budoff, J. J. Carr, T. C. Gerber, H. S. Hecht, et al., “ACCF/ACR/AHA/NASCI/SAIP/SCAI/SCCT 2010 expert consensus document on coronary computed tomographic angiography,” Catheterization and Cardiovascular Interventions, vol. 76, 2010.
N. E. Green, S. Y. J. Chen, A. R. Hansgen, J. C. Messenger, B. M. Groves, and J. D. Carroll, “Angiographic views used for percutaneous coronary interventions: A three‐dimensional analysis of physician‐determined vs. computer‐generated views,” Catheterization and Cardiovascular Interventions, vol. 64, pp. 451–459, 2005.
C. V. Bourantas, F. A. Jaffer, F. J. Gijsen, G. Van Soest, S. P. Madden, B. K. Courtney, et al., “Hybrid intravascular imaging: recent advances, technical considerations, and current applications in the study of plaque pathophysiology,” European heart journal, vol. 38, pp. 400–412, 2016.
K. Toutouzas, Y. S. Chatzizisis, M. Riga, A. Giannopoulos, A. P. Antoniadis, S. Tu, et al., “Accurate and reproducible reconstruction of coronary arteries and endothelial shear stress calculation using 3D OCT: comparative study to 3D IVUS and 3D QCA,” Atherosclerosis, vol. 240, pp. 510–519, 2015.
I. O. Andrikos, A. I. Sakellarios, P. K. Siogkas, G. Rigas, T. P. Exarchos, L. S. Athanasiou, et al., “A novel hybrid approach for reconstruction of coronary bifurcations using angiography and OCT,” in Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, 2017, pp. 588–591.
L. Husmann, S. Leschka, L. Desbiolles, T. Schepis, O. Gaemperli, B. Seifert, et al., “Coronary artery motion and cardiac phases: dependency on heart rate—implications for CT image reconstruction,” Radiology, vol. 245, pp. 567–576, 2007.
S. Çimen, A. Gooya, M. Grass, and A. F. Frangi, “Reconstruction of coronary arteries from X-ray angiography: A review,” Medical image analysis, vol. 32, pp. 46–68, 2016.
J. A. Sethian, “Fast marching methods,” SIAM review, vol. 41, pp. 199–235, 1999.
M. T. Dehkordi, S. Sadri, and A. Doosthoseini, “A review of coronary vessel segmentation algorithms,” Journal of medical signals and sensors, vol. 1, p. 49, 2011.
C. V. Bourantas, I. C. Kourtis, M. E. Plissiti, D. I. Fotiadis, C. S. Katsouras, M. I. Papafaklis, et al., “A method for 3D reconstruction of coronary arteries using biplane angiography and intravascular ultrasound images,” Computerized Medical Imaging and Graphics, vol. 29, pp. 597–606, 2005.
A. A. Taha and A. Hanbury, “Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool,” BMC medical imaging, vol. 15, p. 29, 2015.
P. Garrone, G. BIONDI‐ZOCCAI, I. Salvetti, N. Sina, I. Sheiban, P. R. Stella, et al., “Quantitative coronary angiography in the current era: principles and applications,” Journal of interventional cardiology, vol. 22, pp. 527–536, 2009.
Acknowledgements
This work is part-funded by the European Commission. SMARTool simulation modelling in coronary artery disease: a tool for clinical decision support. GA 689068
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
The authors declare that they have no conflict of interest.
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Andrikos, I.O. et al. (2019). A Novel Method for 3D Reconstruction of Coronary Bifurcation Using Quantitative Coronary Angiography. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G.S. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/1. Springer, Singapore. https://doi.org/10.1007/978-981-10-9035-6_34
Download citation
DOI: https://doi.org/10.1007/978-981-10-9035-6_34
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-9034-9
Online ISBN: 978-981-10-9035-6
eBook Packages: EngineeringEngineering (R0)